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Ascent Robotics raises $10.3M to accelerate AI development for autonomous driving

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See the original story in Japanese. Tokyo-based Ascent Robotics, the Japanese startup developing AI (Artificial Intelligence) training software for autonomous driving, announced on Monday that it has raised about 1.1 billion yen (about $10.3 million US) in a series A round. This round was led by SBI Investment with participation from multiple angel investors including Bart Joseph Broadman. Regarding funding from SBI Investment, this is the first investment case from the company’s AI and Blockchain-focused fund. Following this funding, Ascent Robotics will prepare to set up new offices in Japan and the rest of the world to hire prominent researchers as well as engineers globally, aiming to realize PoC (proof-of-concept) on public roads in addition to accelerating R&D activities on their proprietary AI technologies. The firm has been developing autonomous driving software for Level 4 capable-vehicle (fully autonomous driving including steering, acceleration and braking without human input) under the Japanese road environment. The Tokyo company launched a beta version of the Atlas AI learning environment last November. By using both real and pseudo data for learning AI, the learning efficiency is increased to more than 50 times compared to that when using only real data. Utilizing the superiority of Atlas,…

Image credit: Ascent Robotics

See the original story in Japanese.

Tokyo-based Ascent Robotics, the Japanese startup developing AI (Artificial Intelligence) training software for autonomous driving, announced on Monday that it has raised about 1.1 billion yen (about $10.3 million US) in a series A round. This round was led by SBI Investment with participation from multiple angel investors including Bart Joseph Broadman. Regarding funding from SBI Investment, this is the first investment case from the company’s AI and Blockchain-focused fund.

Following this funding, Ascent Robotics will prepare to set up new offices in Japan and the rest of the world to hire prominent researchers as well as engineers globally, aiming to realize PoC (proof-of-concept) on public roads in addition to accelerating R&D activities on their proprietary AI technologies. The firm has been developing autonomous driving software for Level 4 capable-vehicle (fully autonomous driving including steering, acceleration and braking without human input) under the Japanese road environment.

The Tokyo company launched a beta version of the Atlas AI learning environment last November. By using both real and pseudo data for learning AI, the learning efficiency is increased to more than 50 times compared to that when using only real data. Utilizing the superiority of Atlas, Ascent Robotics aims to realize Level 4 autonomy by 2020 when market competition is expected to intensify.

Image credit: Ascent Robotics

Since the Japanese or Asian road environment differ considerably from Western ones that DeepMind, Waymo and Uber are dealing with, Ascent Robotics focuses on Level 4 autonomy applicable for narrow streets with much traffic as is the case for conventional Japanese streets, and the team expects to lead the global market in this field. In particular, the industry’s expectation for the company will be increased because of the recent pedestrian fatality due to Uber’s autonomous driving vehicle.

Ascent Robotics was founded in September of 2016 by Fred Almeida, the Canadian engineer who had successively held high-level positions at Salesforce and Pasona Tequila. According to Nikkei Robotics, the firm has already concluded a business contract with one of the major Japanese automakers. Ken Kutaragi, known as the father of PlayStation, has also joined the firm as an Outside Director.

Translated by Masaru Ikeda
Edited by “Tex” Pomeroy

Ascent Robotics unveils AI training platform, aiming for level 4 autonomous drive by 2020

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See the original story in Japanese. Tokyo-based Ascent Robotics has been developing autonomous driving software for Level 4 capable-vehicle (fully autonomous driving including steering, accelerating and braking without human input) in the Japanese road environment. The firm launched a beta version of AI (Artificial Intelligence) learning environment named Atlas last week. Atlas is a learning environment for AI used in simulator-based vehicle / robot, integrating VR (Virtual Reality) human interface and 3D simulation environment, in addition to deep reinforcement learning algorithm. By using both real and pseudo data for learning AI, the learning efficiency is increased to more than 50 times compared to that when using only real data. Utilizing the superiority of Atlas, Ascent Robotics aims the realization of Level 4 autonomy by 2020 when market competition is expected to be intensified. Since the Japanese or Asian road environment is considerably different from Western ones that DeepMind, Waymo, and Uber deal with, Ascent Robotics focuses on the Level 4 autonomy applicable for narrow streets having much traffic as the conventional Japanese streets normally have, and the team expects to lead the global market in this field. Ascent Robotics was founded in September 2016 by Fred Almeida, the Canadian engineer…

Autonomous vehicle developed with Ascent Robotics’ technology (concept image)
Image credit: Ascent Robotics

See the original story in Japanese.

Tokyo-based Ascent Robotics has been developing autonomous driving software for Level 4 capable-vehicle (fully autonomous driving including steering, accelerating and braking without human input) in the Japanese road environment. The firm launched a beta version of AI (Artificial Intelligence) learning environment named Atlas last week.

Atlas is a learning environment for AI used in simulator-based vehicle / robot, integrating VR (Virtual Reality) human interface and 3D simulation environment, in addition to deep reinforcement learning algorithm. By using both real and pseudo data for learning AI, the learning efficiency is increased to more than 50 times compared to that when using only real data.

Utilizing the superiority of Atlas, Ascent Robotics aims the realization of Level 4 autonomy by 2020 when market competition is expected to be intensified. Since the Japanese or Asian road environment is considerably different from Western ones that DeepMind, Waymo, and Uber deal with, Ascent Robotics focuses on the Level 4 autonomy applicable for narrow streets having much traffic as the conventional Japanese streets normally have, and the team expects to lead the global market in this field.

Learning AI for autonomous driving in Atlas 3D simulator space
Image credit: Ascent Robotics

Ascent Robotics was founded in September 2016 by Fred Almeida, the Canadian engineer who had successively held high-level positions in Salesforce and Pasona Tquila. According to Nikkei Robotics, the firm has already concluded a business contract with one of the major Japanese automakers. Ken Kutaragi, known as the father of PlayStation, has also joined the firm as Outside Director.

Looking at the trend of the major Japanese automakers, Toyota, Mazda, Honda and others have targeted about 2025 as the goal for establishment of level 4 autonomous technology. If the practical application of Ascent Robotics’ technology is realized, schedules of the major automakers’ research and development may be pushed forward a few years and more.

Translated by Taijiro Takeda
Edited by “Tex” Pomeroy